The predicted calories in food items based on grams of fat are represented by the residual plot. Residuals 30.00 20.00 10.00 0.00 -10.00 -20.00 -30.00 0 5 10 15 Fat in grams 25 30 35 What does the pattern in the residual plot indicate about the type of model? The pattern is random, indicating a good fit for a nonlinear model. The pattern shows the points are far from the zero line, indicating a good fit for a linear model. O The pattern is random, indicating a good fit for a linear model. O The pattern shows the points are far from the zero line, indicating a good fit for a nonlinear model.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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I’m taking a probability and statistics math class. Please answer this correctly because I’ve gotten wrong answers before and I’m trying to learn.
The predicted calories in food items based on grams of fat are represented by the residual plot.
Residuals
30.00
20.00
10.00
0.00
-10.00
-20.00
30.00
0
10
15
Fat in grams
●
DE
30
What does the pattern in the residual plot indicate about the type of model?
O The pattern is random, indicating a good fit for a nonlinear model.
O The pattern shows the points are far from the zero line, indicating a good fit for a linear model.
O The pattern is random, indicating a good fit for a linear model.
The pattern shows the points are far from the zero line, indicating a good fit for a nonlinear model.
Transcribed Image Text:The predicted calories in food items based on grams of fat are represented by the residual plot. Residuals 30.00 20.00 10.00 0.00 -10.00 -20.00 30.00 0 10 15 Fat in grams ● DE 30 What does the pattern in the residual plot indicate about the type of model? O The pattern is random, indicating a good fit for a nonlinear model. O The pattern shows the points are far from the zero line, indicating a good fit for a linear model. O The pattern is random, indicating a good fit for a linear model. The pattern shows the points are far from the zero line, indicating a good fit for a nonlinear model.
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